Robotics & Machine Learning Daily News2024,Issue(Dec.24) :99-103.

Patent Issued for Determining concept relationships in document collections util izing a sparse graph recovery machine-learning model (USPTO 12159110)

Robotics & Machine Learning Daily News2024,Issue(Dec.24) :99-103.

Patent Issued for Determining concept relationships in document collections util izing a sparse graph recovery machine-learning model (USPTO 12159110)

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Abstract

Patent number 12159110 is assigned to Microsoft Technology Licensing LLC (Redmon d, Washington,United States).The following quote was obtained by the news editors from the background informa tion suppliedby the inventors: “Recent years have seen significant advancements in electronic communication usingvarious forms of digital content. Examples of digital content include electronic documents such as textfiles, electronic mes sages (e.g., email, texts, direct messages, broadcast messages), posts (e.g., so cialmedia posts, tweets, blogs, discussion boards), program files, or other net work communications. Indeed,advances in computer technology have allowed users to easily generate, duplicate, access, share, andotherwise communicate digital content. For example, related electronic documents are often gathered intocolle ctions for use across a variety of important fields, such as medicine, political discourse, public, media,research, and academia.

Key words

Business/Cyborgs/Emerging Technologies/Machine Learning/Microsoft Technology Licensing LLC/Natural Language Process ing

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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